server: tests: add tokenize/detokenize scenario

examples/server/tests/features/server.feature

@@ -103,7 +103,7 @@ Feature: llama.cpp server
   Scenario: Embedding
     When embeddings are computed for:
     """
-    What is the capital of France ?
+    What is the capital of Bulgaria ?
     """
     Then embeddings are generated
 
@@ -116,3 +116,13 @@ Feature: llama.cpp server
     What is the capital of Spain ?
     """
     Then embeddings are generated
+
+
+  @llama.cpp
+  Scenario: Tokenize / Detokenize
+    When tokenizing:
+    """
+    What is the capital of France ?
+    """
+    Then tokens can be detokenize
+

examples/server/tests/features/steps/steps.py

@@ -164,6 +164,28 @@ def step_oai_compute_embedding(context):
     context.embeddings = embeddings
 
 
+@step(u'tokenizing')
+def step_tokenize(context):
+    context.tokenized_text = context.text
+    response = requests.post(f'{context.base_url}/tokenize', json={
+        "content":context.tokenized_text,
+    })
+    assert response.status_code == 200
+    context.tokens = response.json()['tokens']
+
+
+@step(u'tokens can be detokenize')
+def step_detokenize(context):
+    assert len(context.tokens) > 0
+    response = requests.post(f'{context.base_url}/detokenize', json={
+        "tokens": context.tokens,
+    })
+    assert response.status_code == 200
+    print(response.json())
+    # FIXME the detokenize answer contains a space prefix ?
+    assert context.tokenized_text == response.json()['content'].strip()
+
+
 def concurrent_requests(context, f_completion):
     context.completions.clear()
     context.completion_threads.clear()